Sökning: "The art of speaking"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden The art of speaking.

1. 1. Analysis of speaking time and content of the various debates of the presidential campaign : Automated AI analysis of speech time and content of presidential debates based on the audio using speaker detection and topic detection

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Axel Valentin Maza; [2023]
   Nyckelord :Artificial Intelligence; Speaker detection; Speaker recognition; Speaker diarization; Speaker identification; Debate; Politics; Deep Learning; Artificiell intelligens; talardetektion; talarigenkänning; talardiarisering; talaridentifiering; debatt; politik; djupinlärning;

   Sammanfattning : The field of artificial intelligence (AI) has grown rapidly in recent years and its applications are becoming more widespread in various fields, including politics. In particular, presidential debates have become a crucial aspect of election campaigns and it is important to analyze the information exchanged in these debates in an objective way to let voters choose without being influenced by biased data. LÄS MER

3. 2. Postmigration and Cultural Fusion:Exploring the social networks of Arabic-speaking writers in Sweden

   Magister-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

   Författare :Mohammed Almahfali; [2023]
   Nyckelord :Creativity; Arabic literature; Arabic culture; Cultural integration; Cultural capital; Arabic-Swedish translation; Authors’ social networks;

   Sammanfattning : The Arabic cultural scene in Sweden is characterized by its richness and diversity, encompassing various forms of cultural expressions such as books, artistic events, films, and online platforms. These productions reflect a synthesis of values derived from both the host society and the longstanding Arabic cultural heritage. LÄS MER

4. 3. Beyond Traditional Tomography: X-ray Multi-projection Imaging for Additive Manufacturing

   Kandidat-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

   Författare :Maria Esther Vilar Alvarez; [2023]
   Nyckelord :X-ray tomography; X-ray multiprojection-imaging; deep learning; additive manufacturing; synchrotron radiation; Physics and Astronomy;

   Sammanfattning : The main aim of this bachelor thesis is to push the limits of 3D X-ray imaging by studying the minimum number of projections required to retrieve high-quality reconstructions for additive manufacturing processes. This project first focuses on understanding how X-ray tomography works, by reconstructing additive manufacturing data already obtained (from PSI, TOMCAT beamline) using two standard reconstruction algorithms, GRIDREC and SIRT. LÄS MER

5. 4. Diskursen om HBTQIA i skolan : Hur bildlärarstudenter pratar om sexualitet och könsidentitet i en bildanalytisk kontext.

   Uppsats för yrkesexamina på avancerad nivå, Malmö universitet/Institutionen för kultur, språk och medier (KSM)

   Författare :Tintin Krans Genrup; Linnea Djurfeldt; [2022]
   Nyckelord :discourse; image analysis; LGBTQ; norms; power; student teachers; visual art education; Diskurs; bildanalys; LGBTQ; HBTQIA; normer; makt; lärarstudent; bild; visuell kultur;

   Sammanfattning : The aim of this paper is to analyse how future art teachers talk about gender identity and sexuality in the context of an image analysis. In order to gather the empirical data used for this paper we sent out a questionnaire to student teachers with art as their primary subject. LÄS MER

7. 5. Speaker verification: Advantages and limitations of a biologically inspired feature extractor

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Maja Gajic; [2022]
   Nyckelord :Speaker verification; artificial neural network; ANN; feature extractor; Technology and Engineering;

   Sammanfattning : Speaker verification is the process of verifying the identity of a person based on voice. This process usually encompasses the following steps: The speech signal is mapped into features using a feature extractor, these features are then classified using a post processor. LÄS MER